IJACSA Special Issue on Graph-powered Intelligent Data Processing

Abstract

Intelligent data processing has emerged as an imperative tool in computer science and information processing. However, the huge amount and complexity of the data acquired pose great challenges for data processing and analysis. A graph is made up of nodes – real-life entities, like health care providers, and products – that can be connected to signify relationships. However, the investigation of how to fully utilize the graph-powered intelligent data processing techniques, such as graph embedding, graph neural network, and graph convolutional network, to improve the performance of data management, knowledge discovery, information fusion, etc. is still at the very early stage.

The diverse, dynamic, and large-scale graph data require different sophisticated graph-powered intelligent data processing methods, data mining techniques, advanced machine learning algorithms, etc., to be involved. The goal of the special issue is to solicit high-quality original papers aiming at demonstrating effective and efficient graph-powered intelligent data processing techniques on data analysis, resource allocation, privacy preservation, architecture design, etc..

This special issue solicits the following topics, but not limited to:

• Graph processing systems
• Graph algorithms on parallel and distributed systems
• Graph classification, clustering, and link prediction techniques
• Graph streaming processing/analytics
• Graph query optimization techniques
• Graph visualizations
• Graph machine learning in distributed systems
• Graph representation learning techniques
• Graph neural networks: convolutional, attention, recurrent
• Knowledge graph modeling and management techniques
• Graph-powered methods for real/industry applications and systems

Submission Guidelines:

Authors must follow the journal guidelines available at http://thesai.org/Publications/Guidelines.

Research articles, review articles as well as communications are invited.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a double blind peer-review process.

There is a fixed publication fee of GBP 500 for all accepted manuscripts. Only registered manuscripts will be part of the published special issue.

Authors may submit their manuscripts as per the following schedule:

• Submission Deadline: 30 April 2026
• Review Notification: 30 May 2026
• Registration Deadline: 25 June 2026
• Camera Ready Submission: 15 July 2026
• Final publication: 30 July 2026

Manuscripts should be submitted via email to Prof. Zhigao Zheng via email to zhengzhigao@whu.edu.cn. Subject line should be: "IJACSA Special Issue on Graph-powered Intelligent Data Processing".

Guest Editors

Zhigao Zheng, Wuhan University, China

Joel J. P. C. Rodrigues, IEEE Fellow, Fortaleza-CE, Brazil

Shahid Mumtaz, IET Fellow, Nottingham Trent University, UK.